AI Technology & Industry Review
On November 10, Meta (formerly known as Facebook) announced a partnership with another tech giant Microsoft to integrate its work app Workplace with Microsoft’s work-focused social network and collaboration software Teams.
On October 11, Microsoft introduced the largest and “the most powerful monolithic transformer language model” trained to date, a 530 billion parameter GPT-3-style generative language model.
A research team from University of Washington, Microsoft, DeepMind and Allen Institute for AI develop a method to convert pretrained transformers into efficient RNNs. The Transformer-to-RNN (T2R) approach speeds up generation and reduces memory cost.
A research team from Princeton University and Microsoft Research discover autonomous language-understanding agents are capable of achieving high scores even in the complete absence of language semantics, indicating that current RL agents for text-based games might not be sufficiently leveraging the semantic structure of game texts.
A Microsoft research team provides concrete evidence showing that existing NLP models cannot robustly solve even the simplest of Math word problems, suggesting the hope that they might capably handle one-unknown arithmetic MWPs is untenable.
A team from Microsoft and Université de Montréal proposes a new mathematical framework that uses measure theory and integral operators to achieve the goal of quantifying the regularity of the attention operation.
A Microsoft team has introduced Error Analysis, a responsible AI toolkit designed to identify and diagnose errors in machine learning models.
A new model surpassed human baseline performance on the challenging natural language understanding benchmark.
WILDS is an ambitious benchmark of in-the-wild distribution shifts spanning diverse data modalities and applications.
Microsoft China and XiaoIce announced a strategic partnership, jointly launching 2B AI and cloud computing solutions in three areas: finance, automotive and content production.
At the Ignite 2020 virtual conference, Microsoft announced new updates for Azure AI.
Microsoft announced today that it has teamed up with OpenAI to exclusively license the AI research institute’s GPT-3 language model.
Microsoft has released four additional DeepSpeed technologies to enable even faster training times, whether on supercomputers or a single GPU.
Researcher composes a quantitative survey of the SOTA in sign language recognition (SLR).
Despite being less accurate on ImageNet, adversarially robust neural networks can match or improve their standard counterparts’ transfer performance.
Microsoft announced it would spin off its chatbot business XiaoIce, with all associated technologies licensed to a newly formed independent company.
Microsoft today announced it will divest its XiaoIce business into an independent company, with Harry Shum appointed as the Chairman of the board.
Researchers from Fudan University and Microsoft have proposed a novel seq2seq architecture that generates dance sequences for music clips running a minute or longer.
Deep learning models are getting larger and larger to meet the demand for better and better performance. Meanwhile, the timeContinue Reading
A recent paper published by Microsoft researchers proposes a new vision-language pretrained model for image-text joint embedding, ImageBERT, which which achieves SOTA performance on both the MSCOCO and Flickr30k datasets.
To help users design and tune machine learning models, neural network architectures or complex system parameters in an efficient and automatic way, in 2017 Microsoft Research began developing its Neural Network Intelligence (NNI) AutoML toolkit, open-sourcing v1.0 version in 2018.
At NeurIPS 2019 this week Facebook unveiled its Deepfake Detection Challenge (DFDC), along with a new deepfake-specific dataset containing more than 100,000 videos.
Synced Global AI Weekly November 17th
Microsoft Executive Vice President Harry Shum (Shen Xiangyang), the head of Microsoft AI and Research, will leave the tech giant in early 2020.
The message from Microsoft is clear: the company is investing in knowledge, which it believes will become one of the most important assets of any organization.
“You’ll see AI infused into all our products and services across the company, from tools to help people be more productive at work, to Azure services that give our customers the flexibility to deploy AI capabilities in any environment,” said Microsoft Communications Corporate Vice President Frank Shaw.
Researchers from Microsoft and JD AI Labs have proposed Object-driven Attentive Generative Adversarial Networks (Obj-GAN) a new model capable of generating relatively complex scenes based on a short phrase or sentence of descriptive text.
Microsoft has updated the performance of their Multi-Task Deep Neural Network (MT-DNN) ensemble model. The significant performance boost has the model sitting comfortably atop the benchmark GLUE rankings, as shown in the following table.
Synced Global AI Weekly May 26th
Under CEO Satya Nadella, Microsoft has made it a priority to develop international partnerships, and the world’s largest software company is now expanding its presence across the great continent of Africa.
The Seventh International Conference on Learning Representations (ICLR) kicked off today. One of the world’s major machine learning conferences, ICLR this year received 1591 main conference paper submissions — up 60 percent over last year — and accepted 24 for oral presentations and 476 as poster presentations.
Over 6,000 developers and computer scientists poured into Seattle’s Washington State Convention Center this morning for Day 1 of Microsoft Build 2019, the company’s annual developer conference. Microsoft used the occasion to announce a new AI-driven collaboration and hybrid-cloud innovations across Microsoft 365 and Microsoft Azure.
10 AI News You Must Know from April W 1 – W 2
A collaboration between researchers from China’s Beihang University and Microsoft Research Asia has produced TableBank, a new image-based dataset for table detection and recognition built with novel weak supervision from Word and Latex documents on the Internet.
Every year as the calendar turns from February to March, the world’s leading electronics and telecommunications companies, startups, inventors, and a herd of tech journalists and analysts head to the Mobile World Congress.
Microsoft researchers have released technical details of an AI system that combines both approaches. The new Multi-Task Deep Neural Network (MT-DNN) is a natural language processing (NLP) model that outperforms Google BERT in nine of eleven benchmark NLP tasks.
Writers often get their inspiration from conversations with other people. So says 19-year-old Katie Bilbrey, who has published 15 online stories under the pen name TheSolSoldier. Bilbrey took a different tact for her latest writing project — instead of back-and-forthing with friends, she drew her inspirations for Our Precious Future through conversations with an artificial intelligence named Zo.
The last year saw an explosion of artificial intelligence consumer products, from virtual assistants to image editors to AI mini-games. Synced has selected 10 AI apps that we believe brought a novel approach to tech or task in 2018.
The team behind MLPerf has announced the machine learning benchmark’s first set of results. MLPerf is a broad machine learning benchmark designed to measure the best performance of each participant with its own resources on a specific task.